IDEAS home Printed from https://ideas.repec.org/a/hin/complx/6773087.html
   My bibliography  Save this article

An Agent-Based Model to Simulate the Diffusion of New Energy Vehicles

Author

Listed:
  • Hao Zhang
  • Peifeng Zhu
  • Zhichao Yao
  • Qingling Wang

Abstract

This paper demonstrates the use of an agent-based model (ABM) to study the mechanism of social influence in the diffusion of new energy vehicles. We introduce the “consumat†cognition model so that agents with different need satisfaction thresholds have different cognitive processes. In addition, supported by survey data, our study considers more characteristics of opinion leaders, such as innovative behavior, lower sensitivity to price influence, and a better ability to judge the product quality. Through the primary group and control group experiments, the simulations demonstrated that the opinion leaders play a significant role in the spread of information and the percentage of product adoption. The results indicate that targeting opinion leaders will be a valuable marketing strategy for new energy vehicles. It also provides some advice for assessing policies that promote sustainable behaviors.

Suggested Citation

  • Hao Zhang & Peifeng Zhu & Zhichao Yao & Qingling Wang, 2023. "An Agent-Based Model to Simulate the Diffusion of New Energy Vehicles," Complexity, Hindawi, vol. 2023, pages 1-9, March.
  • Handle: RePEc:hin:complx:6773087
    DOI: 10.1155/2023/6773087
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/complexity/2023/6773087.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/complexity/2023/6773087.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2023/6773087?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:6773087. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.